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Mobile English Learning: A Meta-analysis

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Learning Technologies and Systems (ICWL 2022, SETE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13869))

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Abstract

The advantages of mobile learning (m-learning) in English education have been widely described in previous research; however, there is little evidence of its effects on student outcomes. To fill this research gap, we conducted a meta-analysis of 54 empirical studies to measure its impact on student achievement. In addition, we estimated the moderating effects of the pedagogical approach, the learning environment, the education level, the control treatment, and the mobile device. The results indicate that m-learning has a large impact \((g=0.94)\) on students’ achievement. This effect is influenced by the pedagogical approach, the education level, and the control treatment, but not by the learning environment or the mobile device. Finally, we explain the nature of these results in light of learning theories.

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Author information

Authors and Affiliations

  1. Universidad Católica de Oriente, 054040, Rionegro, Antioquia, Colombia

    Juan Garzón

  2. International Hellenic University, 57001, Thessaloniki, Nea Moudania, Greece

    Georgios Lampropoulos

  3. Universidad Internacional de la Rioja, La Rioja, 26006, Logroño, Spain

    Daniel Burgos

Authors
  1. Juan Garzón
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  2. Georgios Lampropoulos
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  3. Daniel Burgos
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Corresponding author

Correspondence to Juan Garzón .

Editor information

Editors and Affiliations

  1. Universidad de La Laguna, Tenerife, Spain

    Carina S. González-González

  2. Universidad Complutense de Madrid, Madrid, Madrid, Spain

    Baltasar Fernández-Manjón

  3. Durham University, Durham, UK

    Frederick Li

  4. Universidad de Salamanca, Salamanca, Spain

    Francisco José García-Peñalvo

  5. Mercatorum University, Rome, Italy

    Filippo Sciarrone

  6. Université de Caen Normandie, Caen, France

    Marc Spaniol

  7. University of Salamanca, Salamanca, Spain

    Alicia García-Holgado

  8. Universidad de La Laguna, Tenerife, Spain

    Manuel Area-Moreira

  9. University of Hagen, Hagen, Germany

    Matthias Hemmje

  10. South China Normal University, Guangzhou, China

    Tianyong Hao

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Garzón, J., Lampropoulos, G., Burgos, D. (2023). Mobile English Learning: A Meta-analysis. In: González-González, C.S., et al. Learning Technologies and Systems. ICWL SETE 2022 2022. Lecture Notes in Computer Science, vol 13869. Springer, Cham. https://doi.org/10.1007/978-3-031-33023-0_22

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  • DOI: https://doi.org/10.1007/978-3-031-33023-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33022-3

  • Online ISBN: 978-3-031-33023-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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